<p><b>Introduction: A Career at HARMAN Automotive</b></p><p>We’re a global, multi-disciplinary team that’s putting the innovative power of technology to work and transforming tomorrow. At HARMAN Automotive, we give you the keys to fast-track your career.</p><ul><li><p>Engineer audio systems and integrated technology platforms that augment the driving experience</p></li><li><p>Combine ingenuity, in-depth research, and a spirit of collaboration with design and engineering excellence</p></li><li><p>Advance in-vehicle infotainment, safety, efficiency, and enjoyment</p></li></ul><p></p><p><b>About the Role</b></p><p>We are looking for a highly motivated <b>AI / ML with Devops (GCP,AWS)</b> with 6 to 9 years of experience, who is passionate about building intelligent systems and automating end-to-end ML workflows. The ideal candidate will have a strong foundation in Machine Learning, Python automation, DevOps practices, and cloud-based deployments, working closely with cross‑functional teams to deliver scalable, reliable AI solutions.</p><div></div><p><b>What You Will Do</b></p><ul><li><p>Design, develop, train, and deploy <b>Machine Learning and AI models</b> for real-world applications.</p></li><li><p>Build <b>end-to-end ML pipelines</b>, including data preprocessing, model training, validation, deployment, and monitoring.</p></li><li><p>Develop <b>Python-based automation</b> for test suites, model validation, and workflow orchestration.</p></li><li><p>Integrate ML pipelines seamlessly into <b>CI/CD pipelines</b> for continuous testing and deployment.</p></li><li><p>Ensure a smooth and consistent <b>build environment</b> using <b>CMake and Bazel</b>.</p></li><li><p>Collaborate with DevOps teams to enable <b>MLOps best practices</b>, including model versioning and reproducibility.</p></li><li><p>Deploy, monitor, and optimize ML workloads in <b>AWS environments</b>.</p></li><li><p>Actively contribute to code reviews, documentation, and technical discussions.</p></li><li><p>Troubleshoot and resolve build, deployment, and performance issues across environments.</p></li></ul><div></div><p><b>What You Need to Be Successful</b></p><ul><li><p>6 to 9 years of hands-on experience in <b>AI / Machine Learning development</b>.</p></li><li><p>Strong proficiency in <b>Python</b>, especially for automation, ML model development, and testing.</p></li><li><p>Extensive hands-on experience in <b>automating test suites and processes</b> using Python.</p></li><li><p>Solid experience integrating ML and automation workflows into <b>CI/CD pipelines</b>.</p></li><li><p>Hands-on experience with <b>version control systems</b> such as <b>Git, GitLab, and GitHub</b>.</p></li><li><p>Strong understanding of <b>DevOps practices</b>, including build, release, and deployment automation.</p></li><li><p>Experience working with <b>AWS cloud services</b> for ML model deployment and infrastructure.</p></li><li><p>Practical experience with <b>CMake and Bazel</b> for managing and maintaining stable build environments.</p></li><li><p>Good problem-solving skills with a strong attention to detail.</p></li></ul><div></div><p><b>Bonus Points If You Have</b></p><ul><li><p>Experience with <b>MLOps tools</b> (MLflow, Kubeflow, SageMaker, Airflow, etc.).</p></li><li><p>Exposure to <b>containerization and orchestration</b> technologies like Docker and Kubernetes.</p></li><li><p>Experience with <b>data processing frameworks</b> (Pandas, NumPy, Spark, etc.).</p></li><li><p>Knowledge of <b>REST APIs / microservices</b> for ML model serving.</p></li><li><p>Familiarity with <b>monitoring and logging tools</b> in cloud environments.</p></li><li><p>Prior experience in <b>agile / scrum development teams</b>.</p></li></ul><div></div><p><b>What Makes You Eligible</b></p><ul><li><p>Bachelor’s or Master’s degree in <b>Computer Science, Data Science, Artificial Intelligence, or related fields</b>.</p></li><li><p>Strong understanding of <b>ML fundamentals</b>, algorithms, and model lifecycle management.</p></li><li><p>Excellent communication and collaboration skills.</p></li><li><p>Ability to work independently while contributing effectively to cross‑functional teams.</p></li></ul><p></p><p><b>What We Offer </b></p><p> - Competitive salary and benefits package</p><p>- Opportunities for professional growth and development</p><p>- Collaborative and dynamic work environment</p><p>- Access to cutting-edge technologies and tools</p><p>- Recognition and rewards for outstanding performance through BeBrilliant</p><p>- Chance to work with a renowned German OEM</p><p>- You are expected to work all 5 days in a week in office</p><p></p><p></p>